Moodys (MCO) Selling, General & Administrative (2009 - 2026)
Moodys (MCO) reported Selling, General & Administrative of $463 million for Q2 2026, up 4.5% from $443 million a year earlier but down 2.9% from the prior quarter.
Moodys (MCO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Moodys' Selling, General & Administrative came in at $1.86 billion, up 5.9% year-over-year; for FY2025, it was $1.8 billion, up 3.9% from FY2024.
- Selling, General & Administrative has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.74 billion in FY2024 (+6.3%), $1.63 billion in FY2023 (+6.9%), $1.53 billion in FY2022 (+3.2%) and $1.48 billion in FY2021 (+20.4%).
- Five-year quarterly Selling, General & Administrative spans a low of $368 million in Q2 2022 and a high of $477 million in Q1 2026.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 45.8%); the low point was Q4 2022 (a decline of 13.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $477 million (Q1 2026), $468 million (Q4 2025) and $453 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 3.08 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 463.00 Mn |
| Mar 31, 2026 | 477.00 Mn |
| Dec 31, 2025 | 468.00 Mn |
| Sep 30, 2025 | 453.00 Mn |
| Jun 30, 2025 | 443.00 Mn |
| Mar 31, 2025 | 439.00 Mn |
| Dec 31, 2024 | 442.00 Mn |
| Sep 30, 2024 | 434.00 Mn |
| Jun 30, 2024 | 446.00 Mn |
| Mar 31, 2024 | 413.00 Mn |
| Dec 31, 2023 | 428.00 Mn |
| Sep 30, 2023 | 403.00 Mn |
| Jun 30, 2023 | 415.00 Mn |
| Mar 31, 2023 | 386.00 Mn |
| Dec 31, 2022 | 403.00 Mn |
| Sep 30, 2022 | 385.00 Mn |
| Jun 30, 2022 | 368.00 Mn |
| Mar 31, 2022 | 371.00 Mn |
| Dec 31, 2021 | 465.00 Mn |
| Sep 30, 2021 | 395.00 Mn |
Moodys Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();